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bpl

Bayesian Program Learning model for one-shot learning

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

forgetting

Repository of code for the experiments for the ICLR submission "An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Networks"

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

latex-templates

A collection of LaTeX templates used for research, courses, and miscellanea.

machine-learning-cheat-sheet

Classical equations and diagrams in machine learning

ml-videos

A collection of video resources for machine learning

models

Models built with TensorFlow

paper

basic papers

paper_notes

This will contain my notes for research papers (mostly machine learning and deep learning).

realai.org

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook